Is it up to you to prepare data for reporting? Do you already know how to connect data sources to Power BI? Are you looking for ways to do it quickly and effectively? Do you want to follow the standards and best practices, so you are sure the [...]
  • PBIMC_DA
  • Duration 3 days
  • 30 ITK points
  • 7 terms
  • Praha (22 200 Kč)

    Brno (22 200 Kč)

    Bratislava (900 €)

Is it up to you to prepare data for reporting? Do you already know how to connect data sources to Power BI? Are you looking for ways to do it quickly and effectively? Do you want to follow the standards and best practices, so you are sure the data is ready to be used by anyone in your organization? If so, we have prepared a unique Master Class training guaranteed by Štěpán Rešl (Microsoft Power BI MVP) on data analysis in Power BI with a focus on Power Query transformations. After finishing, you will be able to extract data from any source, including e-shops and public registers. You will be able to rapidly reduce the size of pbix files, dramatically speed up the data transformations or resolve any error message you come across. You will know how to set up data gateways, prepare and optimize data models so that users see only the content relevant to them. Calculated columns will become obsolete.

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    • Anyone who wants to learn how to process data in Power BI like a pro.
    • Anyone who prefers hands-on experience and a highly interactive teaching style.
    • Anyone who prefers knowledge of lecturers/consultants with real projects experience.
    • You will understand the architecture of data products in the Microsoft ecosystem.
    • You will learn how to integrate and parse diverse types of data sources effectively (from Excel, SharePoint, multiple databases, Azure Data Lake, REST API, DataFlows, etc.).
    • You will learn to clean, transform data, solve various errors and issues by doing.
    • You will find out all the options you have through gateways in Power BI and learn how to combine data using relationships.
    • Completion of a basic Microsoft Power BI Desktop course or another basic course or training in Power BI.
    • Basic knowledge of Power Query, DAX, Power BI Service.
    Data analysis (prepare understandable and clean datasets for your customers/users)
    • Data purity transformations

    General Power BI knowledge (always know what is going on)
    • Licensing and how the levels relate to data analytics capabilities
    • Roles and responsibilities in the world of Power BI
    • Detailed Power BI architecture (data analysis area)
    • A model for multilingual reports
    • Dataset/Dataflow and its limitations in data analysis
    • When to use DAX and when to use M

    Power BI Desktop (effective work in Power Query, saving time and money)
    • Correct settings and limits

    Power Query (magical low-code ETL language for the fastest data transformations)
    • Advanced transformations in Power Query
    • Naming convention
    • Data types in Power BI
    • Dynamic column names adjustment
    • Correct steps order in Power Query
    • Data cleaning process
    • M language - predefined and custom functions
    • Functions List.Contents/Transform/Accumulate/Range/Web.Contents
    • Query Folding
    • Records vs Let Expression
    • Power Query documentation

    DAX & Calculations (still using date functions without a custom DateKey?)
    • Custom DateTable creation (in Power Query)

    Power BI Service (How to properly set up and optimize data sources in Power BI Service.)
    • Power BI Service Artifacts
    • Artifact naming convention in Power BI Service (Datasets, DataFlows)
    • Artifact settings
    • Roles in Power BI workspace
    • Lineage view
    • Scheduling updates
    • Query Caching

    Data Gateway (Data stored on-premise? Never a problem again)
    • Gateway types
    • Gateway settings
    • Their limits
    • Data sources (We will show you how to connect anywhere)

    Data sources and connection types
    • Data sources preparation for RLS
    • On-premises data sources
    • Cloud data sources
    • Parsing data from public websites and registers
    • Correct connection to SharePoint data (sheets, metadata, files, libraries)

    Relationships and data models
    • Relationships theory
    • Working with M:N relationships in Power BI
    • Cross relationships

    Administration (Does anyone even use the data?)
    • Metrics usage
    • Certification and content promotion

    External tools (Optimizing models in Power BI? External tools save hours of your time)
    • Diagrams
    • Tabular Editor
    • DAX studio
    • Power BI Cleaner/Helper

        Current offer
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        The prices are without VAT.